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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Dealing with dimensionality: the application of machine learning to multi-omics data
Dylan Feldner-Busztin, Panos Firbas Nisantzis, Shelley J. Edmunds, et al.
Bioinformatics (2023) Vol. 39, Iss. 2
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Navigating Challenges and Opportunities in Multi-Omics Integration for Personalized Healthcare
Alex E. Mohr, Carmen P. Ortega‐Santos, Corrie M. Whisner, et al.
Biomedicines (2024) Vol. 12, Iss. 7, pp. 1496-1496
Open Access | Times Cited: 33
Unified deep learning models for enhanced lung cancer prediction with ResNet-50–101 and EfficientNet-B3 using DICOM images
Vinod Kumar, Chander Prabha, Preeti Sharma, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 16
A comprehensive review of machine learning techniques for multi-omics data integration: challenges and applications in precision oncology
Debabrata Acharya, Anirban Mukhopadhyay
Briefings in Functional Genomics (2024) Vol. 23, Iss. 5, pp. 549-560
Closed Access | Times Cited: 15
Integrating Omics Data and AI for Cancer Diagnosis and Prognosis
Y. Ozaki, P M Broughton, Hamed Abdollahi, et al.
Cancers (2024) Vol. 16, Iss. 13, pp. 2448-2448
Open Access | Times Cited: 12
TMO-Net: an explainable pretrained multi-omics model for multi-task learning in oncology
Feng-ao Wang, Zhenfeng Zhuang, Feng Gao, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 9
Machine learning and multi-omics data in chronic lymphocytic leukemia: the future of precision medicine?
Maria Tsagiopoulou, Marta Gut
Frontiers in Genetics (2024) Vol. 14
Open Access | Times Cited: 8
A machine learning and deep learning-based integrated multi-omics technique for leukemia prediction
Erum Yousef Abbasi, Zhongliang Deng, Qasim Ali, et al.
Heliyon (2024) Vol. 10, Iss. 3, pp. e25369-e25369
Open Access | Times Cited: 8
Multiomics Integration for Identifying Treatment Targets, Drug Development, and Diagnostic Designs in PAH
El Kabbout Reem, Abi Sleimen Antonella, Olivier Boucherat, et al.
Advances in Pulmonary Hypertension (2025) Vol. 23, Iss. 2, pp. 33-42
Open Access | Times Cited: 1
Ten quick tips for avoiding pitfalls in multi-omics data integration analyses
Davide Chicco, Fabio Cumbo, Claudio Angione
PLoS Computational Biology (2023) Vol. 19, Iss. 7, pp. e1011224-e1011224
Open Access | Times Cited: 18
The Role of Genetics in Preterm Birth
Elyse C. Mead, Carol A. Wang, Jason Phung, et al.
Reproductive Sciences (2023) Vol. 30, Iss. 12, pp. 3410-3427
Open Access | Times Cited: 17
Predictive Value of Machine Learning for Platinum Chemotherapy Responses in Ovarian Cancer: Systematic Review and Meta-Analysis
Qingyi Wang, Zhuo Chang, X. Liu, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e48527-e48527
Open Access | Times Cited: 7
From Crypts to Cancer: A Holistic Perspective on Colorectal Carcinogenesis and Therapeutic Strategies
Ehsan Gharib, Gilles A. Robichaud
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 17, pp. 9463-9463
Open Access | Times Cited: 7
Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action
Domenica D’Elia, Jaak Truu, Leo Lahti, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 13
Veterinary systems biology for bridging the phenotype–genotype gap via computational modeling for disease epidemiology and animal welfare
Rajesh Kumar Pathak, Jun‐Mo Kim
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 5
Blood-Based Multiomics-Guided Detection of a Precancerous Pancreatic Tumor
M. Akhtar Anwar, Ammar Hassanzadeh Keshteli, Haiyan Yang, et al.
OMICS A Journal of Integrative Biology (2024) Vol. 28, Iss. 4, pp. 182-192
Closed Access | Times Cited: 5
Emerging analytical approaches for personalized medicine using machine learning in pediatric and congenital heart disease
Bhargava Chinni, Cedric Manlhiot
Canadian Journal of Cardiology (2024) Vol. 40, Iss. 10, pp. 1880-1896
Closed Access | Times Cited: 5
Integrative Analysis of Metabolome and Proteome in the Cerebrospinal Fluid of Patients with Multiple System Atrophy
Nimisha Pradeep George, Minjun Kwon, Yong Eun Jang, et al.
Cells (2025) Vol. 14, Iss. 4, pp. 265-265
Open Access
Multi-omics data for machine learning algorithms
Ab Naffi Ahanger, Syed Naseer Ahmad Shah, Abdul Basit Ahanger, et al.
Elsevier eBooks (2025), pp. 197-221
Closed Access
CAN-Scan: A multi-omic phenotype-driven precision oncology platform identifies prognostic biomarkers of therapy response for colorectal cancer
Shumei Chia, Justine Jia Wen Seow, Rafael Peres da Silva, et al.
Cell Reports Medicine (2025), pp. 102053-102053
Open Access
Leveraging computer vision, large language models, and multimodal machine learning for optimal decision-making in dairy farming
Rafael Ferreira, João Ricardo Rebouças Dórea
Journal of Dairy Science (2025)
Open Access
Harnessing the potential of human induced pluripotent stem cells, functional assays and machine learning for neurodevelopmental disorders
Ziqin Yang, Nicole A. Teaney, Elizabeth D. Buttermore, et al.
Frontiers in Neuroscience (2025) Vol. 18
Open Access
Integrated Genomics and Multi-OMICS in Precision and Personalised Medicine: Emerging New Paradigm for Clinical Medicine
Dhavendra Kumar
Apollo Medicine (2025)
Open Access
Pan-cancer classification of multi-omics data based on machine learning models
Claudia Cava, Soudabeh Sabetian, Christian Salvatore, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 13, Iss. 1
Closed Access | Times Cited: 3
Survival prediction landscape: an in-depth systematic literature review on activities, methods, tools, diseases, and databases
Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, Sheraz Ahmed, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 3
A practical introduction to holo-omics
Iñaki Odriozola, Jacob Agerbo Rasmussen, M. Thomas P. Gilbert, et al.
Cell Reports Methods (2024) Vol. 4, Iss. 7, pp. 100820-100820
Open Access | Times Cited: 3
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